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Description

This error indicates that SAP S/4HANA failed to create a unique identifier for a data provisioning job or background process. It typically occurs when the system attempts to initiate a new data-related task, such as data replication, transformation, or batch processing, but encounters an issue preventing the assignment of a necessary job ID.

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Error Message

ERR_DATAPROV_COULD_NOT_GENERATE_JOB_ID

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Known Causes

4 known causes

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System Resource Exhaustion

The SAP S/4HANA system might be under heavy load, leading to insufficient resources (e.g., memory, CPU, or database connections) to process the job ID generation request.

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Configuration or Permission Issues

The user or the underlying system process attempting to create the data provisioning job lacks the necessary authorizations, or the job creation parameters are misconfigured.

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Database or Network Connectivity Problems

Temporary disruptions in database connectivity or network communication can prevent the system from registering the new job ID, especially for distributed data provisioning scenarios.

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Internal System Inconsistency

An unexpected state or an internal system lock might prevent the proper generation and assignment of a unique job ID for the data provisioning task.

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Solutions

4 solutions available

1. Verify and Reset Job Scheduler Service easy

Ensures the underlying job scheduling service is running and resets it if necessary.

1

Access the SAP HANA Cockpit or HANA Studio.

2

Navigate to the 'Services' or 'System Information' section.

3

Locate the 'xsjobservices' or a similar job scheduling service relevant to your S/4HANA setup (e.g., for Smart Data Integration).

4

Check the status of the service. If it is stopped, start it. If it is running, try restarting it.

5

If using command-line tools, you might use `xs restart <service_name>` (for XSA) or equivalent commands for other deployment models.

xs restart xsjobservices

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Retry the data provisioning job.

2. Check System Resource Utilization medium

Investigates if the HANA database or the host system is experiencing high resource load, impacting job ID generation.

1

Monitor SAP HANA database resource usage (CPU, Memory, Disk I/O) using SAP HANA Cockpit or `M_SYSTEM_RESOURCES` system view.

SELECT * FROM M_SYSTEM_RESOURCES;

2

Monitor the host operating system's resource utilization (CPU, Memory, Disk I/O) using OS-level tools (e.g., `top`, `htop` on Linux; Task Manager on Windows).

3

Identify any processes consuming excessive resources that might be interfering with the job scheduler or database operations.

4

If resource contention is identified, consider optimizing resource-intensive queries, scaling up the HANA system, or offloading non-critical tasks.

5

After resource issues are addressed, retry the data provisioning job.

3. Review and Clean Up Existing Jobs medium

Addresses potential conflicts or resource exhaustion caused by a large number of pending or failed jobs.

1

Access the SAP HANA Cockpit or the relevant job management interface for your S/4HANA deployment (e.g., Smart Data Integration Administration Console).

2

Query the system views for job scheduling information. For example, to check jobs in SAP HANA XS Advanced, you might look at `_SYS_XS_JOBS` or similar tables.

SELECT * FROM "_SYS_XS_JOBS"."JOBS" WHERE STATUS IN ('RUNNING', 'PENDING', 'FAILED');

3

Identify any jobs that have been running for an unusually long time, are stuck in a pending state, or have failed repeatedly.

4

Manually terminate or cancel these problematic jobs. Be cautious and ensure you understand the impact of canceling a job.

5

Consider implementing a regular job cleanup strategy to prevent accumulation of old or failed jobs.

6

Retry the data provisioning job after cleaning up the job queue.

4. Check SAP HANA System Configuration and Patches advanced

Ensures the HANA database is running on a supported configuration and has the necessary patches applied for the job scheduler components.

1

Consult the SAP Note for error code 4680 and related SAP Notes for the specific S/4HANA version and SAP HANA database version you are using.

2

Verify that your SAP HANA database and its components (e.g., Smart Data Integration, XS Advanced Runtime) are running on the minimum required patch level as per SAP recommendations.

3

Review SAP HANA configuration parameters related to job scheduling, background processes, or system services. Incorrectly configured parameters can lead to such errors.

4

If necessary, apply the recommended SAP HANA patches or updates following SAP's standard procedures.

5

After applying patches or making configuration changes, restart relevant services or the entire HANA system if required.

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